Bibliographic record
Abstract
The world energy demand is projected to grow dramatically over the coming decades and global warming is expected to intensify in the business as usual scenario.Both residential and commercial buildings play a major role in the global energy consumption which has been steadily increasing, reaching the levels of industrial and transportation sectors.This has raised concerns over supply and depletion of energy resources and its resulting environmental impacts considering that oil is the world's vital source of energy and will remain so for many years to come.Although there are no collective data available on the global energy consumption in the hotel sector, yet several studies have indicated that hotel units are among the largest energy consumers in the building sector.A literature review indentifi es the lack of published data on energy use in hotels in Egypt.The main aim of this work is to evaluate the energy consumption of resorts as a fi rst step toward establishing a database for resorts key performance indicators in Egypt.This paper, accordingly, investigates the energy performance of fi ve star resorts in the city of Sharm El-Sheikh located on the Red Sea coast in Egypt.This investigation is carried out as part of a study aimed at evaluating the prospects of solar resorts and environmental sustainability in Egypt.The results of the energy audit indicate a common trend of consumption at resorts in Sharm El-Sheikh which is comparable with consumption values of some other hotels in different parts of the world.However, there is potential for introducing energy effi ciency measures in resorts and achieving lower consumption levels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".